Feature Engineering and Selection: A Practical Approach for Predictive Models

Feature Engineering and Selection: A Practical Approach for Predictive Models Max Kuhn, Kjell Johnson
The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results. Categories:
Computers – Computer Science
Computers – Cybernetics
Year:
2021
Edition:
1
Publisher:
CRC Press
Language:
english
Pages:
314
ISBN 10:
1138079227
ISBN 13:
9781138079229
Series:
Chapman & Hall/CRC Data Science
File:
20.68 MB